| Critical issues in state-of-the-art brain–computer interface signal processing DJ Krusienski, M Grosse-Wentrup, F Galán, D Coyle, KJ Miller, E Forney, ... Journal of neural engineering 8 (2), 025002, 2011 | 221 | 2011 |
| Classification of EEG during imagined mental tasks by forecasting with Elman recurrent neural networks EM Forney, CW Anderson The 2011 International Joint Conference on Neural Networks, 2749-2755, 2011 | 58 | 2011 |
| Reliable identification of mental tasks using time-embedded EEG and sequential evidence accumulation C Anderson, E Forney, D Hains, A Natarajan Journal of Neural Engineering 8 (2), 025023, 2011 | 27 | 2011 |
| Echo state networks for modeling and classification of EEG signals in mental-task brain-computer interfaces EM Forney, CW Anderson, WJ Gavin, PL Davies, MC Roll, BK Taylor Color. State Univ, 2015 | 13 | 2015 |
| Electroencephalogram classification by forecasting with recurrent neural networks EM Forney Colorado State University, 2011 | 13 | 2011 |
| A comparison of EEG systems for use in P300 spellers by users with motor impairments in real-world environments E Forney, C Anderson, P Davies, W Gavin, B Taylor, M Roll Proceedings of the fifth international brain-computer interface meeting …, 2013 | 10 | 2013 |
| A stimulus-free braincomputer interface using mental tasks and echo state networks E Forney, C Anderson, W Gavin, P Davies Proceedings of the Fifth International Brain-Computer Interface Meeting …, 2013 | 5 | 2013 |
| EEG character identification using stimulus sequences designed to maximize mimimal hamming distance T Fukami, T Shimada, E Forney, CW Anderson 2012 Annual International Conference of the IEEE Engineering in Medicine and …, 2012 | 4 | 2012 |
| Convolutional Neural Networks for EEG Signal Classification in Asynchronous Brain-Computer Interfaces EM Forney Colorado State University, 2019 | 2 | 2019 |
| Learning Deep Representations of EEG Signals in Mental-Task Brain-Computer Interfaces using Convolutional and Recurrent Networks E Forney | 2 | 2017 |
| CEBL3: A new software platform for EEG analysis and rapid prototyping of BCI technologies EM Forney, CW Anderson, WJ Gavin, PL Davies, MC Roll, I Ryzhkov, ... Proceedings of the Sixth International Brain-Computer Interface Meeting, 2016 | 2 | 2016 |
| Convolutional networks for EEG signal classification in non-invasive brain-computer interfaces E Forney, C Anderson, W Gavin, P Davies Poster presented at the 12th annual meeting of the front range neuroscience …, 2015 | 2 | 2015 |
| A direct brain-computer interface for multimedia and environmental controls E Forney, C Anderson, W Gavin, P Davies Poster presented at the Colorado State University ventures innovation …, 2013 | 2 | 2013 |
| The N100 of averaged ERPs predicts LDA classifier success on an individual basis B Taylor, E Forney, W Gavin, C Anderson, P Davies Fifth International Brain-Computer Interface Meeting, 2013 | 1 | 2013 |
| BRAIN COMPUTER INTERFACE CLASSIFIER PARAMETERS ARE INFLUENCED BY PRACTICE: RESULTS FROM A P300 SPELLER The, Kimberly J., BK Taylor, J Crasta, MH Lin, EM Forney, CW Anderson, ... PSYCHOPHYSIOLOGY 51, S17-S17, 2014 | | 2014 |
| A comparison of EEG systems for use with brain computer interfaces in home environments CW Anderson, WJ Gavin, EM Forney, BK Taylor, PL Davies Psychophysiology 50, S6-S6, 2013 | | 2013 |
| THE ROLE OF ATTENTION IN PREDICTING INDIVIDUAL SUCCESS OPERATING NON-INVASIVE BRAIN-COMPUTER INTERFACES BK Taylor, EM Forney, WJ Gavin, CW Anderson, PL Davies PSYCHOPHYSIOLOGY 50, S71-S71, 2013 | | 2013 |
| Representing and Classifying EEG Signals in Mental Task Brain-Computer Interfaces EM Forney | | 2013 |
| FRONT RANGE NEUROSCIENCE GROUP FC MARRIOTT | | 2011 |
| Mental-Task BCIs using Convolutional Networks and Transfer Learning E Forney, C Anderson, P Davies, W Gavin Signal 4 (P3), P4, 0 | | |
